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  • 1
    Online Resource
    Online Resource
    Statistical Design and Analysis of Biological Experiments / (2021)
    Cham :Springer International Publishing, | Cham :Springer.
    Details
    UID:
    almafu_BV047270745
    Format: 1 Online-Ressource (XIV, 269 p. 70 illus., 7 illus. in color).
    Edition: 1st ed. 2021
    ISBN: 978-3-030-69641-2
    Series Statement: Statistics for Biology and Health
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69640-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69642-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69643-6
    Language: English
    Subjects: Biology , Mathematics
    RVK:
    SK 850
    RVK:
    WC 7600
    Keywords: Biostatistik ; Forschungsplanung
    DOI: 10.1007/978-3-030-69641-2
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://doi.org/10.1007/978-3-030-69641-2
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    Open Access Request
    HU Berlin
    FU Berlin
    Charité
  • 2
    Book
    Book
    A concise guide to statistics (2012)
    Heidelberg [u.a.] : Springer
    Details
    UID:
    b3kat_BV039639948
    Format: XIII, 111 S. , graph. Darst.
    ISBN: 9783642235016 , 3642235018 , 9783642235023
    Series Statement: Springer briefs in statistics
    Additional Edition: Erscheint auch als Online-Ausgabe 10.1007/978-3-642-23502-3
    Language: English
    Subjects: Mathematics
    RVK:
    SK 830
    Keywords: Statistik ; Statistik ; Einführung
    URL: Inhaltstext
    URL: Inhaltsverzeichnis
    Author information: Kaltenbach, Hans-Michael
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    EUV Frankfurt get availability status
    Berlin VÖBB/ZLB get availability status
  • 3
    Online Resource
    Online Resource
    Statistical Design and Analysis of Biological Experiments (2021)
    Cham : Springer International Publishing | Cham : Springer
    Details
    UID:
    b3kat_BV047270745
    Format: 1 Online-Ressource (XIV, 269 p. 70 illus., 7 illus. in color)
    Edition: 1st ed. 2021
    ISBN: 9783030696412
    Series Statement: Statistics for Biology and Health
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69640-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69642-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69643-6
    Language: English
    Subjects: Biology , Mathematics
    RVK:
    SK 850
    RVK:
    WC 7600
    Keywords: Biostatistik ; Forschungsplanung
    DOI: 10.1007/978-3-030-69641-2
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    Open Access Request
    HTW Berlin
    BTU Cottbus
  • 4
    Book
    Book
    Statistical design and analysis of biological experiments / (2021)
    Cham, Switzerland :Springer,
    Details
    UID:
    almahu_BV047300652
    Format: xiv, 269 Seiten : , Illustrationen, Diagramme ; , 583 grams.
    ISBN: 978-3-030-69640-5
    Series Statement: Statistics for biology and health
    Content: This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most common aspects of experimental design such as handling multiple treatment factors and improving precision. In addition, it addresses experiments with large numbers of treatment factors and response surface methods for optimizing experimental conditions or biotechnological yields.The book emphasizes the estimation of effect sizes and the principled use of statistical arguments in the broader scientific context. It gradually transitions from classical analysis of variance to modern linear mixed models, and provides detailed information on power analysis and sample size determination, including ‘portable power’ formulas for making quick approximate calculations. In turn, detailed discussions of several real-life examples illustrate the complexities and aberrations that can arise in practice.Chiefly intended for students, teachers and researchers in the fields of experimental biology and biomedicine, the book is largely self-contained and starts with the necessary background on basic statistical concepts. The underlying ideas and necessary mathematics are gradually introduced in increasingly complex variants of a single example. Hasse diagrams serve as a powerful method for visualizing and comparing experimental designs and deriving appropriate models for their analysis. Manual calculations are provided for early examples, allowing the reader to follow the analyses in detail. More complex calculations rely on the statistical software R, but are easily transferable to other software. Though there are few prerequisites for effectively using the book, previous exposure to basic statistical ideas and the software R would be advisable
    Note: Principles of Experimental Design.- Review of Statistical Concepts.- Planning for Precision and Power.- Comparing More than Two Groups.- Comparing Treatment Groups with Linear Contrasts.- Multiple Treatment Factors: Factorial Designs.- Improving Precision and Power: Blocked Designs.- Split-Unit Designs.- Many Treatment Factors: Fractional Factorial Designs.- Experimental Optimization with Response Surface Methods.- References.- Index.
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-030-69641-2
    Language: English
    Subjects: Biology , Mathematics
    RVK:
    SK 850
    RVK:
    WC 7600
    Keywords: Biostatistik ; Forschungsplanung
    Author information: Kaltenbach, Hans-Michael
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Book
    HU Berlin get availability status
  • 5
    Online Resource
    Online Resource
    A Concise Guide to Statistics (2012)
    Berlin, Heidelberg : Springer Berlin Heidelberg
    Details
    UID:
    gbv_1651084181
    Format: Online-Ressource (XIII, 111p. 33 illus, digital)
    ISBN: 9783642235023
    Series Statement: SpringerBriefs in Statistics
    Content: Basics of Probability Theory -- Estimation -- Hypothesis Testing -- Regression -- References -- Index.
    Content: The text gives a concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher information and power computations. Methods for calculating confidence intervals and robust alternatives to standard estimators are given. Chapter 3: Hypothesis testing with emphasis on concepts, particularly type-I , type-II errors, and interpreting test results. Several examples are provided. T-tests are used throughout, followed important other tests and robust/nonparametric alternatives. Multiple testing is discussed in more depth, and combination of independent tests is explained. Chapter 4: Linear regression, with computations solely based on R. Multiple group comparisons with ANOVA are covered together with linear contrasts, again using R for computations.
    Note: Includes bibliographical references and index , Basics of Probability Theory -- Estimation -- Hypothesis Testing -- Regression.
    Additional Edition: ISBN 9783642235016
    Additional Edition: Buchausg. u.d.T. Kaltenbach, Hans-Michael A concise guide to statistics Heidelberg [u.a.] : Springer, 2012 ISBN 9783642235016
    Additional Edition: ISBN 3642235018
    Language: English
    Subjects: Mathematics
    RVK:
    SK 830
    Keywords: Statistik ; Statistik
    DOI: 10.1007/978-3-642-23502-3
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Inhaltstext
    URL: Inhaltstext
    URL: Inhaltsverzeichnis
    Author information: Kaltenbach, Hans-Michael
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    Open Access Request
    UB Potsdam
  • 6
    Online Resource
    Online Resource
    Statistical design and analysis of biological experiments (2021)
    Cham : Springer
    Details
    UID:
    gbv_1756965633
    Format: 1 Online-Ressource (XIV, 269 Seiten)
    ISBN: 9783030696412
    Series Statement: Statistics for biology and health
    Content: This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most common aspects of experimental design such as handling multiple treatment factors and improving precision. In addition, it addresses experiments with large numbers of treatment factors and response surface methods for optimizing experimental conditions or biotechnological yields. The book emphasizes the estimation of effect sizes and the principled use of statistical arguments in the broader scientific context. It gradually transitions from classical analysis of variance to modern linear mixed models, and provides detailed information on power analysis and sample size determination, including ‘portable power’ formulas for making quick approximate calculations. In turn, detailed discussions of several real-life examples illustrate the complexities and aberrations that can arise in practice. Chiefly intended for students, teachers and researchers in the fields of experimental biology and biomedicine, the book is largely self-contained and starts with the necessary background on basic statistical concepts. The underlying ideas and necessary mathematics are gradually introduced in increasingly complex variants of a single example. Hasse diagrams serve as a powerful method for visualizing and comparing experimental designs and deriving appropriate models for their analysis. Manual calculations are provided for early examples, allowing the reader to follow the analyses in detail. More complex calculations rely on the statistical software R, but are easily transferable to other software. Though there are few prerequisites for effectively using the book, previous exposure to basic statistical ideas and the software R would be advisable.
    Note: Principles of Experimental Design -- Review of Statistical Concepts -- Planning for Precision and Power -- Comparing More than Two Groups -- Comparing Treatment Groups with Linear Contrasts -- Multiple Treatment Factors: Factorial Designs -- Improving Precision and Power: Blocked Designs -- Split-Unit Designs -- Many Treatment Factors: Fractional Factorial Designs -- Experimental Optimization with Response Surface Methods -- References -- Index.
    Additional Edition: ISBN 9783030696405
    Additional Edition: ISBN 9783030696429
    Additional Edition: ISBN 9783030696436
    Language: English
    DOI: 10.1007/978-3-030-69641-2
    URL: lizenzpflichtig
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    UB Potsdam
  • 7
    Online Resource
    Online Resource
    Statistical Design and Analysis of Biological Experiments / (2021)
    Cham :Springer International Publishing, | Cham :Springer.
    Details
    UID:
    edocfu_BV047270745
    Format: 1 Online-Ressource (XIV, 269 p. 70 illus., 7 illus. in color).
    Edition: 1st ed. 2021
    ISBN: 978-3-030-69641-2
    Series Statement: Statistics for Biology and Health
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69640-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69642-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69643-6
    Language: English
    Subjects: Biology , Mathematics
    RVK:
    SK 850
    RVK:
    WC 7600
    Keywords: Biostatistik ; Forschungsplanung
    DOI: 10.1007/978-3-030-69641-2
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Online Access
    Open Access Request
    FU Berlin
  • 8
    Online Resource
    Online Resource
    Statistical Design and Analysis of Biological Experiments / (2021)
    Cham :Springer International Publishing, | Cham :Springer.
    Details
    UID:
    edoccha_BV047270745
    Format: 1 Online-Ressource (XIV, 269 p. 70 illus., 7 illus. in color).
    Edition: 1st ed. 2021
    ISBN: 978-3-030-69641-2
    Series Statement: Statistics for Biology and Health
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69640-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69642-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69643-6
    Language: English
    Subjects: Biology , Mathematics
    RVK:
    SK 850
    RVK:
    WC 7600
    Keywords: Biostatistik ; Forschungsplanung
    DOI: 10.1007/978-3-030-69641-2
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Online Access
    Open Access Request
    Charité
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